All Questions
21 questions
0votes
1answer
4kviews
ValueError: Found unknown categories ['IR', 'HN', 'MT', 'PH', 'NZ', 'CZ', 'MD'] in column 3 during transform
I am trying to use Linear Regression, to predict salary in USD. I have the following data: Data: 607 records Numerical columns: year, salary, salary in USD Categorical columns: experience, type, ...
- 125
1vote
0answers
336views
Multi Linear Regression on String Values
I'm using datasets which involves mostly of string values. The main outcome of the project is that it should predict success. Now I can use OneHotEncoding to convert string values in numerical format ...
0votes
1answer
220views
scikit-learn: feature analysis differs heavily from model coefficients
I am trying to perform linear regression and I want to analyse the available features beforehand. The task is to predict the value of a house. Some of them might have a high impact on the label, ...
0votes
1answer
517views
unable to predict by LinearRegression
Should I add csv as text in SO question? There's lot more data. ...
user112902
1vote
1answer
456views
TicTacToe Linear Regression low accuracy and R^2 score
Im using the python sklearn library to attempt a linear regression TicTacToe AI. I create my training set by simply having the computer play random 'blind' games against itself. For example... Player ...
- 113
9votes
2answers
7kviews
How to normalize data without knowing the min and max values?
I have a Lending club dataset from Kaggle; it contains many different columns: there are for example dummy variables, years, amount of the loan...ect I want to normalize the data in the training and ...
1vote
0answers
121views
How increase forecast accuracy in sklearn linear regression [closed]
I have this code - ...
1vote
1answer
126views
How to use a a trained model
I just trained my first model in Python 3.7/scikitlearn (Linear Regression) (well I copied most of the code but its something ^^). Now I want to actually Use the model. Specifically its about sons ...
- 181
0votes
2answers
369views
Changing categorical data to binary data is not reflected on the dataset
I am working through the Titanic competition. This is my code so far: ...
1vote
0answers
99views
Linear regression load model doesn't predict as expected
I have trained a linear regression model, with sklearn, for a 5 star rating and it's good enough. I have used Doc2vec to create my vectors, and saved that model. Then I save the linear regression ...
- 11
1vote
2answers
109views
How do I correctly build model on given data to predict target parameter?
I have some dataset which contains different paramteres and data.head() looks like this Applied some preprocessing and performed Feature ranking - ...
- 213
3votes
1answer
6kviews
model.score and r2_score giving different values for a regression model
I am build a linear regression model and a decision tree model using sklearn. I want to compare the performance of these two models, I have calculated the r2_score for both the models. I have ...
- 565
1vote
1answer
7kviews
Getting negative r2_score with new set of dimensions
I am trying to predict flight take off delay using my current dataset. At this point of time, I only have four dimensions. ...
- 119
32votes
3answers
147kviews
How can I check the correlation between features and target variable?
I am trying to build a Regression model and I am looking for a way to check whether there's any correlation between features and target variables? This is my ...
- 961
1vote
1answer
1kviews
Why is ElasticNet performs worse than both Lasso and Ridge?
I am using the following codes to build a few models on the same dataset: ...
- 2,775
